Application of Automation and Computer Vision in Reducing Failures in the Production Process of Safety Belts
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Instituto de Tecnologia e Educação Galileo da Amazônia
Abstract
Product quality is a key factor for companies to stand out in a highly competitive market. In the Manaus Industrial Hub (PIM), defect detection in safety belts is a crucial stage in the production process. This study proposes the automation of this process using computer vision and artificial intelligence (AI). The developed system captures images of the parts and applies Deep Learning techniques to identify defects. The results demonstrated 100% accuracy in defect detection, indicating that the proposed solution is effective in improving reliability and reducing waste in the manufacturing of safety belts.
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Keywords
Inteligência Artificial, Deep Learning, Visão Computacional, Automação Industrial, Qualidade do Produto
Citation
SOUZA, Kerlisson Silva de; SANTOS, Eliton Smith dos; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; SANTOS, Alyson de Jesus dos. Application of Automation and Computer Vision in Reducing Failures in the Production Process of Safety Belts. IOSR Journal of Business and Management (IOSR-JBM), v. 26, n. 12, p. 55-62, 2024. DOI: https://doi.org/10.9790/487X-2612135562.